Real-Time Forward-Looking Skewness Over the Business Cycle PDF Download
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Author: Ian Dew-Becker
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
This paper measures option-implied skewness for individual firms and the overall stock market between 1980 and 2021, giving real-time measures of conditional micro and macro skewness. There are three key results: 1. Micro skewness is significantly procyclical, while macro skewness is acyclical; 2. Micro skewness leads the business cycle and is strongly linked to credit spreads, suggesting one potential causal channel; 3. Micro skewness is significantly, and not mechanically, correlated with macro volatility, implying that there is a common shock driving them both, which is also linked to the business cycle.
Author: Ian Dew-Becker
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
This paper measures option-implied skewness for individual firms and the overall stock market between 1980 and 2021, giving real-time measures of conditional micro and macro skewness. There are three key results: 1. Micro skewness is significantly procyclical, while macro skewness is acyclical; 2. Micro skewness leads the business cycle and is strongly linked to credit spreads, suggesting one potential causal channel; 3. Micro skewness is significantly, and not mechanically, correlated with macro volatility, implying that there is a common shock driving them both, which is also linked to the business cycle.
Author: Ian Dew-Becker
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
This paper presents a novel and unique measure of cross-sectional uncertainty constructed from stock options on individual firms. Cross-sectional uncertainty varied little between 1980 and 1995, and subsequently had three distinct peaks -- during the tech boom, the financial crisis, and the coronavirus epidemic. Cross-sectional uncertainty has had a mixed relationship with overall economic activity, and aggregate uncertainty is much more powerful for forecasting aggregate growth. The data and moments can be used to calibrate and test structural models of the effects of uncertainty shocks. In international data, we find similar dynamics and a strong common factor in cross-sectional uncertainty. The data is available on our websites. A companion paper [Dew-Becker and Giglio, "Real-time forward-looking skewness over the business cycle"] finds firm-level skewness is significantly procyclical.
Author: Lance Kent
Publisher:
ISBN:
Category :
Languages : en
Pages : 44
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Book Description
In the context of a quantitative real business cycle (RBC) model, we document that shocks to the higher-order moments, especially the skewness, of productivity can have large first-order effects on business cycles. We augment a standard small open economy RBC model with a new feature: a discrete regime switching between higher-order moments of total factor productivity shocks between an unrest state and a quiet state. To map the theory to data, we exploit an extensive database of mass political unrest around the world. We calibrate the model to the observed increases in the volatility and skewness of the growth rates of key economic variables during episodes of unrest. The calibrated model shows that increases in negative skewness play an important role in explaining the observed first-order decline in economic activities.
Author: Marcelle Chauvet
Publisher:
ISBN:
Category :
Languages : en
Pages : 31
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Book Description
This paper explores the dynamic relationship between stock market fluctuations and the business cycle. Presumably, stock market movements reflect positions taken by market participants based on their assessment about the current state of the economy. Given the forward-looking behavior of stock market investors, this paper explores the possibility of predicting business cycle turning points using promptly available financial variables. Stock market fluctuations and business cycles are represented by nonlinear dynamic factors at the monthly frequency. The proposed model generates predictions of business cycle turning points using the business cycle factor, and anticipation of these predicted turns using the stock market factor. The findings indicate that the extracted stock market factor is found to be a leading indicator of the state of the business cycle and can be used to anticipate its turning points in real time.
Author: James Picerno
Publisher: CreateSpace
ISBN: 9781492923855
Category : Business & Economics
Languages : en
Pages : 154
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Book Description
Nowcasting The Business Cycle presents a practical guide for analyzing recession risk—the primary risk factor that drives success and failure in business, finance, wealth management, and so much more. Whether you're an individual investor watching over your retirement account; the owner of a small business; a manager running a billion-dollar pension fund; or a CEO in charge of a global corporation, a large portion of triumph and defeat is closely linked with the broad swings in the economy. The business cycle, in other words, is the mother of all known (and recurring) risk factors. Accordingly, developing a process for assessing the likelihood of this threat is critical. Everyone needs a reliable, timely warning system that's relatively uncomplicated and transparent. Drawing on economic theory and macro's historical record, Nowcasting The Business Cycle outlines a simple but effective model for identifying those times when a new recession has probably started. This isn't forecasting, which is a fool's errand when it comes to the economy. Instead, the goal is recognizing when a majority of key indicators have already reached a tipping point. That may sound like a trivial advantage, but most people—including many economists—don't fully recognize when a recession has begun until the deterioration is obvious. By that point, the opportunity has probably passed for taking defensive measures in your investment portfolio, your business, or your career. The real challenge is less about predicting and more about developing solid intuition for recognizing when the macro threat is exceptionally high. Even a small degree of progress here can provide a considerable boost to your strategic insight. If we can learn the techniques for recognizing a cyclical downturn's presence relatively early—soon after it's begun, or just as it's starting—we'll have an advantage that tends to elude most folks. Nowcasting The Business Cycle provides a roadmap for ensuring that you won't be caught by surprise when the next recession strikes. That's a crucial advantage for one powerful reason: There's always another recession coming.
Author: Rendigs Fels
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 160
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Book Description
2-part assessment of research methods in respect of forecasting periods of economic recession and economic growth, with particular reference to the USA - comprises (1) an investigation of problems in economic research of forecasting and recognising business cycle peaks and troughs, and (2) an evaluation of the performance of the federal open market committee of the u.s.a. In anticipating and recognising 7 cyclical turns since the 2nd world war. References.
Author: Martin Iseringhausen
Publisher:
ISBN:
Category : Autoregression (Statistics)
Languages : en
Pages : 42
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Book Description
We develop a data-rich measure of expected macroeconomic skewness in the US economy. Expected macroeconomic skewness is strongly procyclical, mainly reflects the cyclicality in the skewness of real variables, is highly correlated with the cross-sectional skewness of firm-level employment growth, and is distinct from financial market skewness. Revisions in expected skewness deliver dynamics that are nearly indistinguishable from those produced by the main business cycle shock of Angeletos et al. (2020). This result is robust to controlling for macroeconomic volatility and uncertainty, and alternative macroeconomic shocks. Our findings highlight the importance of higher-order dynamics for business cycle theories.
Author: Efrem Castelnuovo
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
We employ a mixed-frequency quantile regression approach to model the time-varying conditional distribution of the US real GDP growth rate. We show that monthly information on the US financial cycle improves the predictive power of an otherwise quarterly-only model. We combine selected quantiles of the estimated conditional distribution to produce measures of uncertainty and skewness. Embedding these measures in a VAR framework, we show that unexpected changes in uncertainty are associated with an increase in (left) skewness and a downturn in real activity. Empirical findings related to VAR impulse responses and forecast error variance decomposition are shown to depend on the inclusion/omission of monthly-level information on financial conditions when estimating real GDP growth's conditional density. Effects are significantly downplayed if we consider a quarterly-only quantile regression model. A counterfactual simulation conducted by shutting down the endogenous response of skewness to uncertainty shocks shows that skewness substantially amplifies the recessionary effects of uncertainty.
Author: Marcelle Chauvet
Publisher:
ISBN:
Category : Business cycles
Languages : en
Pages : 30
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Book Description
Author: Henrik Jensen
Publisher:
ISBN:
Category : Business cycles
Languages : en
Pages : 62
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Book Description
We document that the U.S. economy has been characterized by an increasingly negative business cycle asymmetry over the last three decades. This finding can be explained by the concurrent increase in the financial leverage of households and firms. To support this view, we devise and estimate a dynamic general equilibrium model with collateralized borrowing and occasionally binding credit constraints. Higher leverage increases the likelihood that constraints become slack in the face of expansionary shocks, while contractionary shocks are further amplified due to binding constraints. As a result, booms become progressively smoother and more prolonged than busts. We are therefore able to reconcile a more negatively skewed business cycle with the Great Moderation in cyclical volatility. Finally, in line with recent empirical evidence, financially-driven expansions lead to deeper contractions, as compared with equally-sized non-financial expansions.
